CN109623493A - A method of determining the real-time thermal deformation posture of main shaft - Google Patents

A method of determining the real-time thermal deformation posture of main shaft Download PDF

Info

Publication number
CN109623493A
CN109623493A CN201910100942.XA CN201910100942A CN109623493A CN 109623493 A CN109623493 A CN 109623493A CN 201910100942 A CN201910100942 A CN 201910100942A CN 109623493 A CN109623493 A CN 109623493A
Authority
CN
China
Prior art keywords
main shaft
thermal
spindle box
temperature
displacement sensor
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201910100942.XA
Other languages
Chinese (zh)
Other versions
CN109623493B (en
Inventor
刘阔
刘海波
韩灵生
甘涌泉
韩伟
李特
王永青
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Dalian University of Technology
Original Assignee
Dalian University of Technology
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Dalian University of Technology filed Critical Dalian University of Technology
Priority to CN201910100942.XA priority Critical patent/CN109623493B/en
Priority to US16/603,467 priority patent/US20200311321A1/en
Priority to PCT/CN2019/075715 priority patent/WO2020155230A1/en
Publication of CN109623493A publication Critical patent/CN109623493A/en
Application granted granted Critical
Publication of CN109623493B publication Critical patent/CN109623493B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B23—MACHINE TOOLS; METAL-WORKING NOT OTHERWISE PROVIDED FOR
    • B23Q—DETAILS, COMPONENTS, OR ACCESSORIES FOR MACHINE TOOLS, e.g. ARRANGEMENTS FOR COPYING OR CONTROLLING; MACHINE TOOLS IN GENERAL CHARACTERISED BY THE CONSTRUCTION OF PARTICULAR DETAILS OR COMPONENTS; COMBINATIONS OR ASSOCIATIONS OF METAL-WORKING MACHINES, NOT DIRECTED TO A PARTICULAR RESULT
    • B23Q17/00—Arrangements for observing, indicating or measuring on machine tools
    • B23Q17/007—Arrangements for observing, indicating or measuring on machine tools for managing machine functions not concerning the tool
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00—Investigating or analyzing materials by the use of thermal means
    • G01N25/16—Investigating or analyzing materials by the use of thermal means by investigating thermal coefficient of expansion
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N25/00—Investigating or analyzing materials by the use of thermal means
    • G01N25/18—Investigating or analyzing materials by the use of thermal means by investigating thermal conductivity
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2111/00—Details relating to CAD techniques
    • G06F2111/10—Numerical modelling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
    • G06F2119/08—Thermal analysis or thermal optimisation

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Biochemistry (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Immunology (AREA)
  • Pathology (AREA)
  • Health & Medical Sciences (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Computational Mathematics (AREA)
  • Mechanical Engineering (AREA)
  • Automatic Control Of Machine Tools (AREA)
  • Investigating Or Analyzing Materials Using Thermal Means (AREA)
  • Machine Tool Sensing Apparatuses (AREA)

Abstract

The present invention provides a kind of methods for determining the real-time thermal deformation posture of main shaft, belong to NC Machine Error the field of test technology.This method is for the status for lacking main shaft thermal deformation posture real-time monitoring in process at present, first respectively using the temperature and main shaft radial direction Thermal Error of spindle box upper and lower surface when temperature sensor and displacement sensor test main shaft operation；Then the thermal change amount of spindle box upper and lower surface is calculated according to main shaft radial direction Thermal Error, and establishes the model of thermal change amount Yu spindle box upper and lower surface temperature；It is last that the real-time thermal deformation posture of main shaft is determined according to the spindle box upper and lower surface temperature acquired in real time.The great advantage of this method is that the real-time monitoring of main shaft thermal deformation posture in process can be achieved.

Description

A method of determining the real-time thermal deformation posture of main shaft
Technical field
The invention belongs to NC Machine Error the field of test technology, specially a kind of judgement real-time thermal deformation posture of main shaft Method.
Background technique
In the process of numerically-controlled machine tool, thermal deformation is to influence one of the principal element of machining accuracy.Since main shaft exists Calorific value is larger in operational process, therefore its thermal deformation is also larger.The thermal deformation of main shaft can not only cause axial thermal stretching error, Radial thermal drift error and hot heeling error can also be caused.These errors not only will affect the relative position of cutter and workpiece, It also will affect the relative attitude of cutter and workpiece.Facilitate the machining accuracy of understanding lathe to the detection of main shaft thermal deformation, reduces Rejection rate and analysis for main shaft thermal deformation and control provide data basis, therefore are very necessary.Existing scholar at present The detection method of main shaft thermal deformation is had conducted extensive research.
Main shaft of numerical control machine tool Thermal Error detection at present is broadly divided into two classes:
(1) it the Spindle thermal error detection based on displacement sensor: is passed using the displacement of the types such as laser, capacitor, current vortex Sensor detects axial thermal stretching error and radial thermal drift error in main shaft operational process.In patent, " machine tool spindle thermal is missed Poor monitoring system ", the patent No.: Spindle thermal error is detected using laser displacement sensor in CN201410064187.1；In patent " test method of machine tool spindle thermal error test under simulated condition loading condition " patent No.: is applied in CN201010292286.7 Current vortex sensor detects Spindle thermal error.
(2) the Spindle thermal error detection based on workpiece: Spindle thermal error is estimated using the machining feature of workpiece.In patent " test of numerical control machine tool cutting Thermal Error and evaluation method based on milling aperture ", the patent No.: in CN201310562312.7, Cube workpiece surface processes one group of aperture, detects Spindle thermal error according to aperture and hole depth.
As can be seen that the problem of Spindle thermal error detection at present, is: the Spindle thermal error detection based on displacement sensor Although method can detecte out main shaft thermal drift error and hot heeling error, but can only be detected in the unloaded state, with There are difference for actual processing.Although the Spindle thermal error detection method based on workpiece is tested under actual processing operating condition, Main shaft axial direction thermal drift error can only be detected, can not obtain main shaft thermal deformation posture.As can be seen that current Spindle thermal error inspection Survey method can not realize the real-time monitoring to main shaft thermal deformation posture under machine tooling state.
Summary of the invention
The present invention can not be under machine tooling state to main shaft thermal deformation posture real-time monitoring for existing detection method Status provides a kind of method for determining the real-time thermal deformation posture of main shaft, realizes main shaft thermal deformation posture in the actual processing process Real-time monitoring.
Technical solution of the present invention:
A method of the real-time thermal deformation posture of main shaft is determined, firstly, applying temperature sensor and displacement sensor respectively The temperature and main shaft radial direction Thermal Error of spindle box upper and lower surface when testing main shaft operation；Then, according to main shaft radial direction Thermal Error meter The thermal change amount of spindle box upper and lower surface is calculated, and establishes the model of thermal change amount Yu spindle box upper and lower surface temperature；Finally, being based on The model determines the real-time thermal deformation posture of main shaft according to the spindle box upper and lower surface temperature acquired in real time；Specific step is as follows:
The first step, temperature and Thermal Error test
First temperature sensor 1 is arranged in the upper surface of spindle box 2, and second temperature sensor 3 is arranged under spindle box 2 Surface；Check bar 4 is fixed on main shaft by knife handle interface；First displacement sensor 6 and second displacement sensor 5 are arranged in check bar 4 sides, wherein second displacement sensor 5 is close to main shaft nose；
Test process are as follows: main shaft was first with revolving speed R (being not higher than maximum speed of spindle) continuous service M hours (such as 4 hours) It heats up, main shaft, which stops operating, later cools down N hours (such as 3 hours)；In the process, with some cycles (such as 10 seconds) acquisition First temperature sensor 1, second temperature sensor 3, the data of the first displacement sensor 6 and second displacement sensor 5；
Second step establishes the model of thermal change amount Yu spindle box upper and lower surface temperature
If the data of the first temperature sensor 1 acquisition are t1, the data that second temperature sensor 3 acquires are t2, the first displacement The data that sensor 6 acquires are p1, the data that second displacement sensor 5 acquires are p2；T is obtained according to formula (1)1Increment △ t1、 t2Increment △ t2、p1Increment △ p1And p2Increment △ p2；
If the distance of 2 upper surface of spindle box to lower surface is A1, 2 lower surface of spindle box to second displacement sensor 5 away from From for A2, the distance of the 5 to the first displacement sensor of second displacement sensor 6 is A3；
(1) thermal expansion amount of spindle box upper and lower surface is calculated
According to main axle structure and data △ p1With △ p2, 2 upper surface thermal change amount of spindle box is calculated based on following methods eupperWith lower surface thermal change amount elower；
If the calculation formula of intermediate variable α and β are as follows:
According to current time α, β, △ p1With △ p2Relationship, be divided into following situations calculate current time spindle box above and below The thermal change amount on surface；
A) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)>△p2(i), β (i)≤A2When:
B) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)>△p2(i), β (i) > A2, β (i)≤(A1+A2) when:
C) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)>△p2(i), β (i) > (A1+A2) when:
D) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)≤△p2(i) when:
E) as △ p1(i) > 0, △ p2(i) < 0 when:
F) as △ p1(i) < 0, △ p2(i) > 0 when:
G) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)≥△p2(i) when:
H) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)<△p2(i), β (i) > (A1+A2) when:
I) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)<△p2(i), β (i) < (A1+A2), β (i) > A2When:
J) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)<△p2(i), β (i)≤A2When:
(2) model of spindle box upper and lower surface thermal change amount and temperature is established
Shown in the relational model such as formula (13) of spindle box upper and lower surface thermal change amount and upper and lower surface temperature:
A in formula1、a2、b1And b2For coefficient；
Using least square method, according to data eupper、elower、△t1With △ t2A is calculated1、a2、b1And b2；
Third step, the judgement of the real-time thermal deformation posture of main shaft
In main shaft operational process, the first temperature sensor 1 and second temperature sensor 3 are acquired with some cycles (such as 10 seconds) Data；Based on formula (13), spindle box upper and lower surface thermal change amount e is calculated according to the temperature data at current timeupperWith elower；As follows, current time main shaft thermal deformation posture is determined in the case where not using displacement sensor；
If shown in the calculating of intermediate variable γ such as formula (14):
According to current time eupper、elowerWith the relationship of γ, the main shaft at current time is calculated separately by following situations The radial Thermal Error △ p of 5 position of one displacement sensor 6 and second displacement sensorc1With △ pc2；
A) work as eupper(i)≥0、elower(i) >=0, eupper(i)≥elower(i), γ (i)≤A2When:
B) work as eupper(i)>0、elower(i) < 0 when:
C) work as eupper(i)<0、elower(i) < 0, eupper(i)≥elower(i) when:
D) work as eupper(i)<0、elower(i) < 0, eupper(i)<elower(i), γ (i) > (A2+A3) when:
F) work as eupper(i)<0、elower(i) < 0, eupper(i)<elower(i), γ (i)≤(A2+A3), γ (i) > A2When:
G) work as eupper(i)≥0、elower(i) >=0, eupper(i)>elower(i), γ (i) > (A2+A3) when:
H) work as eupper(i)≥0、elower(i) >=0, eupper(i)≤elower(i) when:
I) work as eupper(i)<0、elower(i) > 0 when:
J) work as eupper(i)<0、elower(i) < 0, eupper(i)≤elower(i), γ (i)≤A2When:
According to △ pc1With △ pc2, the thermal deformation posture of main shaft, i.e. main shaft radial direction Thermal Error E are calculated according to formula (25)thermal With hot heeling errorIn this way, determining the real-time thermal deformation posture of main shaft:
The invention has the benefit that the real-time monitoring of main shaft thermal deformation posture in process can be achieved in the present invention.Mesh Before there is no the method for real-time of main shaft thermal deformation posture in process.Present invention can be implemented in machine toolings in the process to master The real-time monitoring of axis thermal deformation posture judges that can main shaft current state meet Workpiece Machining Accuracy requirement with this, avoids processing Precision is overproof, improves product qualification rate.The method of real-time can also mention for the analysis of main shaft Hot Deformation Mechanism, modeling and compensation For foundation.
Detailed description of the invention
Fig. 1 is temperature sensor arrangement and main shaft thermal deformation attitude test schematic diagram.
Fig. 2 is the real-time thermal deformation pose discrimination flow chart of main shaft.
Fig. 3 is the temperature of the first and second temperature sensors acquisition.
Fig. 4 is the displacement of the first and second displacement sensors acquisition.
Fig. 5 (a) is the main shaft radial direction Thermal Error of prediction.
Fig. 5 (b) is the hot heeling error of main shaft of prediction.
In figure: 1 first temperature sensor；2 spindle boxes；3 second temperature sensors；4 check bars；5 second displacement sensors；6 First displacement sensor.
Specific embodiment
It is clear in order to be more clear the object, technical solutions and advantages of the present invention, the present invention is made with reference to the accompanying drawing It is described in detail.
By taking certain three shaft vertical machining center of type as an example, the embodiment that the present invention will be described in detail.The machining center main shaft is most High revolving speed 15000r/min, spindle motor are connect with main shaft using shaft coupling, and main shaft is without cooling device.
The first step, temperature and Thermal Error test
First temperature sensor (1) is arranged in the upper surface of spindle box (2), and second temperature sensor (3) is arranged in main shaft The lower surface of case (2).Check bar (4) is fixed on main shaft by knife handle interface.First displacement sensor (6) and second displacement sensing Device (5) is arranged in check bar side, and wherein second displacement sensor (5) is close to main shaft nose.Specific arrangement method is as shown in Figure 1.
Test process are as follows: main shaft is heated up for 4 hours first with revolving speed 8000r/min continuous service, and main shaft is static later Cooling 3 hours.In the process, the first temperature sensor (1), second temperature sensor (3), first are acquired with the 10s period The data of displacement sensor (6) and second displacement sensor (5).
Second step establishes the model of thermal change amount Yu spindle box upper and lower surface temperature
If the data of the first temperature sensor (1) acquisition are t1, the data of second temperature sensor (3) acquisition are t2, first The data of displacement sensor (6) acquisition are p1, the data of second displacement sensor (5) acquisition are p2.T is obtained according to formula (1)1's Increment △ t1、t2Increment △ t2、p1Increment △ p1And p2Increment △ p2。△t1With △ t2Curve as shown in figure 3, △ p1 With △ p2Curve it is as shown in Figure 4.
The distance of spindle box (2) upper surface to lower surface is 210mm, spindle box (2) lower surface to second displacement sensor (5) distance is 280mm, and the distance of second displacement sensor (5) to the first displacement sensor (6) is 76.2mm.
According to main axle structure and data △ p1With △ p2, spindle box (2) upper surface thermal change is calculated based on formula (2)~formula (12) Change amount eupperWith lower surface thermal change amount elower.Based on formula (13), coefficient a is calculated using least square method1、a2、b1And b2Point It Wei 5.76,0.37,4.85 and -0.08.
Third step, the judgement of the real-time thermal deformation posture of main shaft
Main shaft is enabled to heat up with 10000r/min continuous service 4 hours, later static cooling 3 hours.In main shaft operational process, Acquire the numerical value of the first temperature sensor (1) and second temperature sensor (3) in real time with the period of 10s.Based on formula (13), according to The temperature data at current time calculates spindle box upper and lower surface thermal change amount eupperAnd elower。
The main shaft thermal deformation posture at current time, i.e. main shaft thermal drift error are calculated according to formula (14)~formula (25) (such as Shown in Fig. 5 (a)) and hot heeling error (shown in such as Fig. 5 (b)), to realize the judgement to the real-time thermal deformation posture of main shaft.

Claims (1)

1. a kind of method for determining the real-time thermal deformation posture of main shaft, firstly, being surveyed respectively using temperature sensor and displacement sensor Try the temperature and main shaft radial direction Thermal Error of spindle box upper and lower surface when main shaft operation；Then, it is calculated according to main shaft radial direction Thermal Error The thermal change amount of spindle box upper and lower surface, and establish the model of thermal change amount Yu spindle box upper and lower surface temperature；Finally, based on should Model determines the real-time thermal deformation posture of main shaft according to the spindle box upper and lower surface temperature acquired in real time；It is characterized in that, step is such as Under:
The first step, temperature and Thermal Error test
First temperature sensor (1) is arranged in the upper surface of spindle box (2), and second temperature sensor (3) is arranged in spindle box (2) Lower surface；Check bar (4) is fixed on main shaft by knife handle interface；First displacement sensor (6) and second displacement sensor (5) It is arranged in check bar (4) side, wherein second displacement sensor (5) is close to main shaft nose；
Test process are as follows: main shaft is heated up for M hours first with revolving speed R continuous service, and revolving speed R is not higher than maximum speed of spindle, Main shaft, which stops operating, later cools down N hours；In the process, the first temperature sensor (1), second temperature are acquired with some cycles The data of sensor (3), the first displacement sensor (6) and second displacement sensor (5)；
Second step establishes the model of thermal change amount Yu spindle box upper and lower surface temperature
If the data of the first temperature sensor (1) acquisition are t1, the data of second temperature sensor (3) acquisition are t2, the first displacement The data of sensor (6) acquisition are p1, the data of second displacement sensor (5) acquisition are p2；T is obtained according to formula (1)1Increment △t1、t2Increment △ t2、p1Increment △ p1And p2Increment △ p2；
If the distance of spindle box (2) upper surface to lower surface is A1, spindle box (2) lower surface to second displacement sensor (5) away from From for A2, the distance of second displacement sensor (5) to the first displacement sensor (6) is A3；
(1) thermal expansion amount of spindle box upper and lower surface is calculated
According to main axle structure and data △ p1With △ p2, spindle box (2) upper surface thermal change amount e is calculated based on following methodsupperWith Lower surface thermal change amount elower；
If the calculation formula of intermediate variable α and β are as follows:
According to current time α, β, △ p1With △ p2Relationship, be divided into following situations calculate current time spindle box upper and lower surface Thermal change amount；
A) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)>△p2(i), β (i)≤A2When:
B) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)>△p2(i), β (i) > A2, β (i)≤(A1+A2) when:
C) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)>△p2(i), β (i) > (A1+A2) when:
D) as △ p1(i) >=0, △ p2(i) >=0, △ p1(i)≤△p2(i) when:
E) as △ p1(i) > 0, △ p2(i) < 0 when:
F) as △ p1(i) < 0, △ p2(i) > 0 when:
G) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)≥△p2(i) when:
H) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)<△p2(i), β (i) > (A1+A2) when:
I) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)<△p2(i), β (i) < (A1+A2), β (i) > A2When:
J) as △ p1(i) < 0, △ p2(i) < 0, △ p1(i)<△p2(i), β (i)≤A2When:
(2) model of spindle box upper and lower surface thermal change amount and temperature is established
Shown in the relational model such as formula (13) of spindle box upper and lower surface thermal change amount and upper and lower surface temperature:
A in formula1、a2、b1And b2For coefficient；
Using least square method, according to data eupper、elower、△t1With △ t2A is calculated1、a2、b1And b2；
Third step, the judgement of the real-time thermal deformation posture of main shaft
In main shaft operational process, the number of the first temperature sensor 1 and second temperature sensor 3 is acquired with some cycles (such as 10 seconds) According to；Based on formula (13), spindle box upper and lower surface thermal change amount e is calculated according to the temperature data at current timeupperAnd elower；It presses According to following method, current time main shaft thermal deformation posture is determined in the case where not using displacement sensor；
If shown in the calculating of intermediate variable γ such as formula (14):
According to current time eupper、elowerWith the relationship of γ, the main shaft at current time is calculated separately at first by following situations The radial Thermal Error △ p of displacement sensor (6) and second displacement sensor (5) positionc1With △ pc2；
A) work as eupper(i)≥0、elower(i) >=0, eupper(i)≥elower(i), γ (i)≤A2When:
B) work as eupper(i)>0、elower(i) < 0 when:
C) work as eupper(i)<0、elower(i) < 0, eupper(i)≥elower(i) when:
D) work as eupper(i)<0、elower(i) < 0, eupper(i)<elower(i), γ (i) > (A2+A3) when:
E) work as eupper(i)≥0、elower(i) >=0, eupper(i)>elower(i), γ (i)≤(A2+A3), γ (i) > A2When:
F) work as eupper(i)<0、elower(i) < 0, eupper(i)<elower(i), γ (i)≤(A2+A3), γ (i) > A2When:
G) work as eupper(i)≥0、elower(i) >=0, eupper(i)>elower(i), γ (i) > (A2+A3) when:
H) work as eupper(i)≥0、elower(i) >=0, eupper(i)≤elower(i) when:
I) work as eupper(i)<0、elower(i) > 0 when:
J) work as eupper(i)<0、elower(i) < 0, eupper(i)≤elower(i), γ (i)≤A2When:
According to △ pc1With △ pc2, the thermal deformation posture of main shaft, i.e. main shaft radial direction Thermal Error E are calculated according to formula (25)thermalAnd heat Heeling errorIn this way, determining the real-time thermal deformation posture of main shaft:
CN201910100942.XA 2019-01-31 2019-01-31 Method for judging real-time thermal deformation posture of main shaft Active CN109623493B (en)

Priority Applications (3)

Application Number Priority Date Filing Date Title
CN201910100942.XA CN109623493B (en) 2019-01-31 2019-01-31 Method for judging real-time thermal deformation posture of main shaft
US16/603,467 US20200311321A1 (en) 2019-01-31 2019-02-21 Method for determining real-time thermal deformation attitude of spindle
PCT/CN2019/075715 WO2020155230A1 (en) 2019-01-31 2019-02-21 Method for determining real-time thermal deformation attitude of spindle

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910100942.XA CN109623493B (en) 2019-01-31 2019-01-31 Method for judging real-time thermal deformation posture of main shaft

Publications (2)

Publication Number Publication Date
CN109623493A true CN109623493A (en) 2019-04-16
CN109623493B CN109623493B (en) 2020-09-29

Family

ID=66064580

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910100942.XA Active CN109623493B (en) 2019-01-31 2019-01-31 Method for judging real-time thermal deformation posture of main shaft

Country Status (3)

Country Link
US (1) US20200311321A1 (en)
CN (1) CN109623493B (en)
WO (1) WO2020155230A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111289554A (en) * 2020-03-16 2020-06-16 大连理工大学 Device for simulating thermal deformation of internal-injection cooling main shaft
CN113515089A (en) * 2021-06-18 2021-10-19 汉涘姆(上海)精密机械有限公司 Five-axis linkage fork type swinging head temperature compensation method

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113094942A (en) * 2021-03-05 2021-07-09 西安交通大学 Active machine tool geometric precision design method considering gravity and thermal influence
CN113051686B (en) * 2021-04-01 2023-03-10 重庆大学 Spindle system thermal-structure coupling characteristic model creation method and thermal error model modeling method under inclined working condition
CN113126566B (en) * 2021-06-18 2021-08-24 四川大学 Numerical control machine tool spindle axial thermal error physical modeling method
CN114594726A (en) * 2022-02-17 2022-06-07 成都飞机工业（集团）有限责任公司 Method for detecting thermal elongation of spindle of numerical control machine tool and electronic equipment
CN115056036B (en) * 2022-07-13 2024-05-07 浙江金火科技实业有限公司 Main spindle box part detection device on numerical control lathe

Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07266194A (en) * 1994-03-30 1995-10-17 Hitachi Seiki Co Ltd Tool cutting edge measurement compensator
US20020167517A1 (en) * 2001-03-30 2002-11-14 Fujitsu Nagano Systems Engineering Limited Method and program for coordinate decision procedure of voxel model, and recording medium thereof
CN102759900A (en) * 2012-06-29 2012-10-31 上海三一精机有限公司 System and method for testing machine tool spindle thermal error
JP2013255982A (en) * 2012-06-14 2013-12-26 Murata Machinery Ltd Machine tool, and correction method of thermal deformation thereof
CN103801988A (en) * 2014-02-25 2014-05-21 南通大学 Monitoring system for thermal error of machine tool spindle
CN105081879A (en) * 2015-08-27 2015-11-25 成都飞机工业（集团）有限责任公司 Fault diagnosis and prediction method for numerical control machine tool spindle
CN105181319A (en) * 2015-09-29 2015-12-23 爱佩仪中测（成都）精密仪器有限公司 Spindle dynamic error and thermal deformation analyzer
JP2018027599A (en) * 2016-08-18 2018-02-22 中村留精密工業株式会社 Method for correcting machining error of machine tool
CN108363870A (en) * 2018-02-11 2018-08-03 宁波大学 A kind of main shaft of numerical control machine tool thermal error modeling method based on deep learning

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH11104901A (en) * 1997-10-01 1999-04-20 Okuma Corp Correction device for tailstock
CN101290266B (en) * 2008-06-17 2010-11-03 上海理工大学 Numerical control machine heat error compensation temperature point position determination method
JP2010120150A (en) * 2008-11-22 2010-06-03 Mori Seiki Co Ltd Estimation method for thermal deformation compensation of machine tool
CN101628396B (en) * 2009-06-01 2012-10-03 上海理工大学 Method for measuring thermal error of grinding wheel spindle of grinder
CN104197887B (en) * 2014-06-19 2017-01-25 绍兴绍力机电科技有限公司 Device and method for measuring tilt error of air main shaft
CN104227503A (en) * 2014-09-14 2014-12-24 沈机集团昆明机床股份有限公司 Real-time online detection and compensation device for thermal elongation deformation error of boring spindles of numerical control machine tool
CN107942934B (en) * 2017-11-06 2019-08-13 大连理工大学 A kind of modeling of main shaft radial direction thermal drift error and compensation method of horizontal NC lathe
CN108857574B (en) * 2018-07-05 2020-01-17 大连理工大学 Application method of 'thermal error-temperature' ring of numerical control machine tool spindle

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH07266194A (en) * 1994-03-30 1995-10-17 Hitachi Seiki Co Ltd Tool cutting edge measurement compensator
US20020167517A1 (en) * 2001-03-30 2002-11-14 Fujitsu Nagano Systems Engineering Limited Method and program for coordinate decision procedure of voxel model, and recording medium thereof
JP2013255982A (en) * 2012-06-14 2013-12-26 Murata Machinery Ltd Machine tool, and correction method of thermal deformation thereof
CN102759900A (en) * 2012-06-29 2012-10-31 上海三一精机有限公司 System and method for testing machine tool spindle thermal error
CN103801988A (en) * 2014-02-25 2014-05-21 南通大学 Monitoring system for thermal error of machine tool spindle
CN105081879A (en) * 2015-08-27 2015-11-25 成都飞机工业（集团）有限责任公司 Fault diagnosis and prediction method for numerical control machine tool spindle
CN105181319A (en) * 2015-09-29 2015-12-23 爱佩仪中测（成都）精密仪器有限公司 Spindle dynamic error and thermal deformation analyzer
JP2018027599A (en) * 2016-08-18 2018-02-22 中村留精密工業株式会社 Method for correcting machining error of machine tool
CN108363870A (en) * 2018-02-11 2018-08-03 宁波大学 A kind of main shaft of numerical control machine tool thermal error modeling method based on deep learning

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111289554A (en) * 2020-03-16 2020-06-16 大连理工大学 Device for simulating thermal deformation of internal-injection cooling main shaft
CN113515089A (en) * 2021-06-18 2021-10-19 汉涘姆(上海)精密机械有限公司 Five-axis linkage fork type swinging head temperature compensation method

Also Published As

Publication number Publication date
CN109623493B (en) 2020-09-29
US20200311321A1 (en) 2020-10-01
WO2020155230A1 (en) 2020-08-06

Similar Documents

Publication Publication Date Title
CN109623493A (en) A method of determining the real-time thermal deformation posture of main shaft
WO2019084948A1 (en) Radial thermal drift error modeling and compensation method for main spindle of horizontal cnc lathe
CN102854841B (en) Shape and position error in-situ compensating and processing method for curved surface parts
Tönshoff et al. Sensors in manufacturing
CN101477351B (en) Intelligent numerical control method with three-stage process self-optimization function
CN107942934A (en) The modeling of main shaft radial direction thermal drift error and compensation method of a kind of horizontal NC lathe
Kovač et al. A review of machining monitoring systems
CN103823409A (en) Numerical machine tool machining state multi-parameter online active monitoring system and implement method thereof
Wang et al. Improved forecasting compensatory control to guarantee the remaining wall thickness for pocket milling of a large thin-walled part
CN109739182A (en) A kind of pair of cooling system disturbs insensitive Spindle thermal error compensation method
CN110889091B (en) Machine tool thermal error prediction method and system based on temperature sensitive interval segmentation
CN108214087A (en) The temperature estimation method of lathe and thermal displacement correction method
CN104166373A (en) Online detecting method and system for numerical control machine tool machining error
Yao et al. Dynamic temperature gradient and unfalsified control approach for machine tool thermal error compensation
Yang et al. Testing, variable selecting and modeling of thermal errors on an INDEX-G200 turning center
Liu et al. A novel comprehensive thermal error modeling method by using the workpiece inspection data from production line for CNC machine tool
Dayam et al. In-process dimension monitoring system for integration of legacy machine tools into the industry 4.0 framework
CN108919746B (en) Thermal error testing and analyzing method of rotary swing table
Nishida et al. Sequence planning of on-machine measurement and re-machining
CN110096029A (en) Thermal displacement correction device
Zhu et al. A model-based monitoring and fault diagnosis methodology for free-form surface machining process
CN111708323B (en) Five-axis small gantry numerical control machining center with thermal deformation error compensation function
CN108646670B (en) Real-time prediction method for temperature of parts of numerical control machine tool
CN203918644U (en) Wireless machine tool thermal error real-time detection apparatus
Pahk et al. Thermal error measurement and modelling techniques for the five-degree-of-freedom spindle drifts in computer numerically controlled machine tools

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant